12. Australian Joint Conference on Artificial Intelligence 1999: Sydney, Australia

Machine Learning I

• Geoffrey Holmes, Mark Hall, Eibe Frank:
  Generating Rule Sets from Model Trees. 1-12
  
• Mihai Lazarescu, Svetha Venkatesh, Geoff A. W. West:
  Classifying and Learning Cricket Shots Using Camera Motion. 13-23
  
• Graham E. Farr, David R. Powell:
  Unsupervised Learning in Metagame. 24-35
  

Neural Nets

• Monzurur Rahman, Xinghuo Yu, Bala Srinivasan:
  A Neural Networks Based Approach for Fast Mining Characteristic Rules. 36-47
  
• Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen:
  FANRE: A Fast Adaptive Neural Regression Estimator. 48-59
  
• Raouf Veliev, Alex Rubinov, Andrew Stranieri:
  Neural Networks for Defuzification of Fuzzy Rules: An Application in Macroeconomic Forecasting. 60-71
  

Knowledge Representation I

• Jeong-Oog Lee, Doo-Kwon Baik:
  Semantic Integration of Databases Using Linguistic Knowledge. 72-83
  
• John K. Debenham:
  Representing "Just Invalid" Knowledge. 84-95
  
• Julio Rosenblatt:
  Maximising Expected Utility for Behaviour Arbitration. 96-108
  

Natural Language

• Margaret Wasko, Robert Dale:
  Generating Natural Language Descriptions of Project Plans. 109-121
  
• Janine Toole:
  Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier. 122-133
  
• Shigeki Matsubara, Katsuhiko Toyama, Yasuyoshi Inagaki:
  Sync/Trans: Simultaneous Machine Interpretation between English and Japanese. 134-143
  

Belief Revision

• Oliver Schulte:
  Minimal Belief Change and Pareto-Optimality. 144-155
  
• Thomas Andreas Meyer:
  Basic Infobase Change. 156-167
  
• Wei Liu, Mary-Anne Williams:
  A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology. 168-179
  

Adaptive Algorithms

• Mengjie Zhang, Victor Ciesielski:
  Genetic Programming for Multiple Class Object Detection. 180-192
  
• Andreas Alexander Albrecht, Kathleen Steinhöfel:
  A Simulated Annealing-Based Learning Algorithm for Boolean DNF. 193-204
  
• Stéphane Calderoni, Pierre Marcenac:
  MUTANT: A Genetic Learning System. 205-217
  

Automated Reasoning

• Thomas Mantay:
  Computing Least Common Subsumers in Expressive Description Logics. 218-230
  
• Gernot Stenz, Andreas Wolf:
  E-SETHEO: Design, Configuration and Use of a Parallel Automated Theorem Prover. 231-243
  
• Marianne Brown, Geoff Sutcliffe:
  PTTP+GLiDeS: Guiding Linear Deductions with Semantics. 244-254
  

Neural Learning

• Ivan Jordanov, Robert Brown:
  Neural Network Learning Using Low-Discrepancy Sequence. 255-267
  
• Robert Cox, David Clark, Alice Richardson:
  An Investigation into the Effect of Ensemble Size and Voting Threshold on the Accuracy of Neural Network Ensembles. 268-277
  
• Richard Willgoss, Javaid Iqbal:
  Neurofuzzy Learning of Mobile Robot Behaviours. 278-290
  

Knowledge Representation II

• Arun K. Pujari, G. Vijaya Kumari, Abdul Sattar:
  INDU: An Interval and Duration Network. 291-303
  
• Wei Li:
  A Logical Framework for Inductive Inference and Its Rationality. 304-315
  
• Quoc Bao Vo, Joe Thurbon:
  Semantics for Pollock`s Defeasible Reasoning. 316-327
  

Heuristics

• Ian Horrocks, Lin Padgham, Laura Thomson:
  Feasibility of Optimised Disjunctive Reasoning for Approximate Matching. 328-339
  
• Matt Vernooy, William S. Havens:
  An Examination of Probabilistic Value-Ordering Heuristics. 340-352
  
• Masahito Kurihara, Hisashi Kondo:
  Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains. 353-364
  

Knowledge Representation III

• Abhaya C. Nayak, Norman Y. Foo:
  Abduction without Minimality. 365-377
  
• Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak:
  Causal Propagation Semantics - A Study. 378-392
  
• Nathalie Jitnah, Ann E. Nicholson:
  Arc Weights for Approximate Evaluation of Dynamic Belief Networks. 393-404
  

Machine Learning II

• Murlikrishna Viswanathan, Chris S. Wallace, David L. Dowe, Kevin B. Korb:
  Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. 405-416
  
• Chris Gaskett, David Wettergreen, Alexander Zelinsky:
  Q-Learning in Continuous State and Action Spaces. 417-428
  

Applications

• Victor Korotkikh, Noel Patson:
  On Understanding Global Behavior of Teams in Robot Soccer Simulators. 429-439
  
• Alexander Zelinsky:
  Visual Human-Machine Interaction. 440-452
  
• Edmund K. Burke, Graham Kendall:
  Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem. 453-464
  

Poster Papers (Extended Summary)

• Yasufumi Takama, Mitsuru Ishizuka:
  Fisheye Matching: Viewpoint-Sensitive Feature Generation Based on Concept Structure. 465-466
  
• Sai Kiran Lakkaraju, Yan Zhang:
  A Procedural Approach for Rule Based Update. 467-468
  
• M. R. K. Krishna Rao, Abdul Sattar:
  Learning Logic Programs with Local Variables from Positive Examples. 469-471
  
• Michael Mayo, Antonija Mitrovic:
  Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks. 472-473
  
• Masafumi Matsuhara, Kenji Araki, Yoshio Momouchi, Koji Tochinai:
  Evaluation of Number-Kanji Translation Method of Non-Segmented Japanese Sentences Using Inductive Learning with Degenerated Input. 474-475
  
• Zili Zhang, Chengqi Zhang:
  A Serving Agent for Integrating Soft Computing and Software Agents. 476-477
  
• Paul Crowther:
  A Visual Geographic Knowledge Classification and Its Relationship to the KADS Model. 478-479
  
• William S. Havens, Randy Goebel, Jean Berger, René Proulx:
  A Constraint Optimization Framework for MultiAgent Anytime Scheduling. 480-481
  
• Bret Talko, Linda Stern, Leslie J. Kitchen:
  Evolving Modular Neural Networks Using Rule-Based Genetic Programming. 482-483
  
• Victor Jauregui, Maurice Pagnucco, Norman Y. Foo:
  A Trajectory Approach to Causality. 484-485
  
• Elise Dettmann, Ann E. Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle:
  Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals. 486-487
  
• Mary Lou Maher, Peter Xianghua Wu:
  Reconsidering Fitness and Covergence in Co-evolutionary Design. 488-489
  
• Tsuyoshi Nakamura, Lifeng He, Hidenori Itoh:
  A Proposal of Generating Artistic Japanese Calligraphic Fonts. 490-491
  
• Wen-Gong Chen, Chen-Sen Ouyang, Shie-Jue Lee:
  Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling. 492-493
  
• Wei Dai, Robin Drogemuller:
  Knowledge-Based Communication Processes in Building Design. 494-495
  
• Yuefeng Li, Chengqi Zhang:
  Information-Based Cooperation in Multiple Agent Systems. 496-498
  

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